Data cleaning method for demand prediction of shared automobile

A technology for demand forecasting and data cleaning, applied in data processing applications, electrical digital data processing, digital data information retrieval, etc. computing time, improving forecast accuracy, and ensuring effectiveness

Inactive Publication Date: 2019-07-30
北京首汽智行科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] 1. The validity of the data cannot be guaranteed;
[0006] 2. It will be mixed with dirty data, which will affect the accuracy of prediction

Method used

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  • Data cleaning method for demand prediction of shared automobile

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Experimental program
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Embodiment Construction

[0027] Specific embodiments of the present invention will be described in detail below.

[0028] Such as figure 1 As shown, a data cleaning method for car-sharing demand forecasting includes the following steps:

[0029] (1), extract the data opened by all client applications of the same interaction from the data obtained from the buried point, and enter step (2) after completion;

[0030] (2) From the data extracted in step (1), obtain all outlets within 5 kilometers of the place where the interaction took place and the data on whether the corresponding outlets have vehicles to rent when the interaction occurs, and then proceed to step (3);

[0031] (3), by opening the process id (sessionid) of the client application to obtain the data of whether there is an order operation after this interaction, and enter step (4) after completion;

[0032] (4), attribute the process id of opening the client application this time to the network point closest to the place where the interac...

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PUM

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Abstract

The invention relates to a data cleaning method for demand prediction of a shared automobile. The data cleaning method comprises the following steps: (1) extracting opening data of all client applications interacted at the same time; (2) acquiring all network points within a 5-kilometer range of an interaction place and data about whether to-be-rented vehicles exist at the corresponding network points or not when the interaction occurs at this time; (3) obtaining data about whether an order placing operation is carried out or not after the interaction; (4) allowing the process id for opening the client application at this time to belong to a network point closest to the interaction place; (5) obtaining the longest vehicle taking walking distance of successful order placing of the user whoperforms the interaction at this time; (6) obtaining information of all network points within the longest vehicle taking walking distance of the user; (7) judging whether a to-be-rented vehicle existsor not; and (8) affiliating the data result of the interaction to the network point closest to the interaction place, and finishing data cleaning. The data validity is ensured; dirty data cannot be doped, prediction accuracy is improved, and meanwhile model operation time is shortened.

Description

technical field [0001] The invention belongs to the field of shared cars, and in particular relates to a data cleaning method for demand prediction of shared cars. Background technique [0002] "Car sharing" first appeared in the 1940s and was invented by the Swiss. They have organized "self-driving car cooperatives" across the country, which is very practical in mountainous countries like Switzerland. After one person finishes using the car, handing over the car keys to the next person is easier than building a network in flat countries. [0003] Later, Japan, the United Kingdom and other countries rushed to follow suit, but none of them took shape. Japan mainly because the automakers don't support the plan, the Japanese like to have a personal car of their own. In the UK, despite government support, the cost of car rental is low, which hinders the development of "car sharing". [0004] At present, many companies have shared cars on the streets of China, but the current ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/215G06Q30/02G06Q30/06
CPCG06F16/215G06Q30/0202G06Q30/0645
Inventor 袁春雷
Owner 北京首汽智行科技有限公司
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